148 lines
4.7 KiB
Markdown
148 lines
4.7 KiB
Markdown
# Session: 2026-03-15 16:26:17 UTC
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- **Session Key**: agent:knowledge-base:main
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- **Session ID**: 843cc739-7402-40f0-81ed-015cd4a8848d
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- **Source**: feishu
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## Conversation Summary
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assistant: ✅ New session started · model: zhipu/glm-5
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user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
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assistant: [[reply_to_current]] 蒋先生您好，我是达康书记。今天有什么需要我协助的吗？📚
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "om_x100b5458d055dca4c4dd20469577549",
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"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
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"sender": "张青",
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"timestamp": "Sun 2026-03-15 23:02 GMT+8"
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}
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```
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Sender (untrusted metadata):
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```json
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{
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"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
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"id": "ou_9351c287f42069fa30366ac641d24df7",
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"name": "张青"
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}
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```
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[message_id: om_x100b5458d055dca4c4dd20469577549]
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张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
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assistant: 已安排代理处理知识库添加任务。
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assistant: ✅ 已安排代理处理【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读】的视频链接。
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代理正在执行：
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- 环境变量检查
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- 链接解析和元数据提取
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- 内容下载
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- AI深度分析
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- 归档到知识库
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完成后会自动汇报结果。📚
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assistant: ✅ Subagent knowledge-base finished
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---
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## ✅ 任务完成
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### 处理结果
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| 项目 | 内容 |
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|------|------|
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| **原始链接** | https://b23.tv/NGR0Ul5 |
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| **解析后链接** | https://www.bilibili.com/video/BV16cNMzpExh |
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| **标题** | 2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 |
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| **作者** | 阿周的Eureka |
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| **时长** | 07:16 |
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### 执行步骤
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1. ✅ 环境变量检查通过
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2. ✅ URL 解析（短链展开）
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3. ✅ 内容下载（音频、字幕已有）
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4. ✅ ASR（字幕已存在，跳过）
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5. ✅ **深度分析**（AI 生成分析报告）
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6. ✅ 归档到知识库
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7. ✅ 同步到 NAS
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### 最终文件路径
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```
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~/work/zq/30.资源/AI分析/2026-03-15/bilibili_BV16cNMzpExh.md
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```
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### 分析报告统计
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- 摘要长度：319 字
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- 主题数量：10 个
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- 关键见解：4 条
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- 标签数量：5 个
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "om_x100b54588d4de4a0c14df6ea4b56be0",
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"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
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"sender": "张青",
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"timestamp": "Sun 2026-03-15 23:11 GMT+8"
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}
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```
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Sender (untrusted metadata):
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```json
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{
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"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
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"id": "ou_9351c287f42069fa30366ac641d24df7",
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"name": "张青"
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}
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```
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[message_id: om_x100b54588d4de4a0c14df6ea4b56be0]
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张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
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assistant: 已安排代理处理知识库添加任务。
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assistant: ✅ 已安排代理处理知乎问答链接。
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代理正在执行下载和深度分析，完成后会自动汇报结果。📚
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assistant: ✅ Subagent knowledge-base finished
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---
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## ✅ 任务完成！
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**知识库添加任务执行成功**
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### 处理结果
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| 项目 | 状态 |
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|------|------|
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| 环境变量检查 | ✅ 通过 |
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| URL 解析 | ✅ 知乎回答 |
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| 内容下载 | ✅ 成功 |
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| ASR 处理 | ⏭️ 跳过（文本内容） |
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| 深度分析 | ✅ 完成（耗时 170 秒） |
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| 归档 | ✅ 完成 |
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### 最终文件路径
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```
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~/work/zq/30.资源/AI分析/2026-03-15/zhihu_2003232153480226496_ai_agent_engineer.md
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```
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### 内容摘要
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**标题**: AI Agent工程师转型指南：从理论焦虑到实战高薪的路径拆解
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**核心观点**:
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- 当前的就业窗口期更看重"应用落地"能力而非"模型训练"能力
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- 转型路径四步：API调用 → 工具使用 → 工程化 → 简历优化
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- 强调"动手做"优于"死磕理论"的实操哲学
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### 过程中修复的问题
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1. **环境变量配置**: 添加 `KB_ZHIHU_COOKIE` 环境变量
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2. **模块导入**: 创建 `kb_zhihu_metadata` 和 `kb_deep_analyzer` 符号链接
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3. **Playwright 异步问题**: 修改 ZhihuAdapter 使用 `asyncio.to_thread()` 运行同步代码
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4. **知乎回答 URL 构建**: 修改 pipeline 传递完整 `source_url` 给下载处理器
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5. **ASR 跳过逻辑**: 文本内容类型自动跳过 ASR 步骤
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